Course
Data
Code
New Accounts
Introduction to software tools.
Traditional 5-step process for the scientific method
Data are things, known or assumed as facts, making the basis of reasoning or calculation.
Metadata is information about data.
Data collection is the process of gathering and measuring information on targeted variables in an established system. The purpose is to answer relevant questions or/and evaluate outcomes.
The location where data that is being used comes from.
Interpretation is the process of making sense of numerical data that has been collected, analyzed, and presented.
Visualization is the graphical representation of information and data.
Data analysis is a process of inspecting, cleaning, transforming and modeling data with the goal of discovering useful information, informing conclusions and supporting decision-making.
In statistics, exploratory data analysis (EDA) is an approach to analyzing data sets to summarize their main characteristics, often with visual methods.
Too large or complex data to be dealt with by traditional data-processing application and software.
Apache Point, New Mexico, US, 1995
ALMA, Atacama, Antofagasta Region, Chile
Data mining is the process of discovering patterns in large data sets.
Data assimilation is a mathematical discipline that seeks to optimally combine theory with observations.
Data manipulation; inserting, deleting, and modifying data in a database.
Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge from structured and unstructured data.
An operating system (OS) is system software that manages computer hardware, software resources, and provides common services for computer programs.
Microsoft Windows, Apple macOS, Linux
The algorithm is a set of instructions, typically to solve a class of problems or perform a computation.
The simulation is an approximate imitation of the operation of a process or system; that represents its operation over time.
Model is a description of a system using mathematical concepts. The aim of modeling is to understand easier a particular part or feature of thing.
Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning, reasoning and self-correction.
Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions.
1997, Deep Blue vs Garry Kasparov
Deep learning is part of a family of machine learning methods based on artificial neural networks.
The Internet of Things (IoT) is a system of interrelated computing devices, mechanical and digital machines. IoT has the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction.